Tyler Soiferman

twsoiferman@outlook.com

Education

Stevens Institute of Technology

GPA: 3.98/4.0

Awards/Activities: Dean’s List, Edwin A. Stevens Scholarship, Upsilon Pi Epsilon: International Honor Society for the Computing and Information Disciplines, Stevens Office of International Programs Global Ambassador, Stevens Computer Science Student Advisory Council, Audio Engineering Club (Open Mic Nights Performer)

Courses: Data Structures, Algorithms, Linear Algebra, Probability and Statistics, Intermediate Statistics, Machine Learning: Fundamentals and Applications, Deep Learning, Database Management Systems, Agile Methods for Software Development

Skills

Languages/Libraries

Python, SQL, R, NumPy, Pandas, Keras, Java, JavaScript, Handlebars, jQuery, C, OCaml, C++, HTML/CSS, LaTeX

Software

Tableau, Power BI, Excel, Microsoft SQL Server, PostgreSQL/pgAdmin, GitHub, Postman

Other

Linux, Git, Jupyter Notebook, Google Colab, Visual Studio Code

Professional and Research Experience

Bank of America

Global Technology Summer Analyst – Data Management Intern

Jersey City, NJ

June 2023 - Aug 2023

  • Automated and streamlined a critical segment within the analytics process necessary for the transition to the T+1 settlements cycle
  • Engineered a data pipeline and developed a dynamic interactive dashboard using Python and Streamlit in order to extract insights to ascertain optimal trade data thresholds for noise elimination

Stevens Institute for Artificial Intelligence

Student Researcher

Hoboken, NJ

May 2022 - Oct 2022

  • Evaluated the predictive capabilities of and trained ARIMA, autoregression, and recurrent neural network time series models for forecasting COVID cases using Keras, NumPy, and Pandas
  • Incorporated sentiment scores drawn from text related to COVID policy change into models to investigate the effect on the root mean square error

Stevens Institute for Artificial Intelligence

Industrial Alliance Student Researcher

Hoboken, NJ

Nov 2021 - May 2022

  • Applied for the position of and was accepted as a SIAI Industrial Alliance Student Researcher
  • Advanced Eastech's software and hardware system for evaluating and reporting the performance of wastewater collection systems by integrating time series modeling into their process
  • Preprocessed raw data sourced from Eastech’s sensors and cloud-based analytical software in order to train forecasting models
  • Collaborated with a team of undergraduate/graduate/PhD student researchers and a faculty mentor

DOT loves data

Data Analyst Intern

Wellington, New Zealand (Virtually)

May 2021 - Jul 2021

  • Advanced Dot Loves Data's research initiatives through the conception and execution of an original Natural Language Processing project
  • Cleaned historical text corpora and investigated the correlation between word usage/sentiment and US historical events using R
  • Analyzed trends and drew insights from historical text, resulting in a publication for the company
  • Contributed several enhancements to the Moodalizer product

Projects

Predicting Length of Stay in the ICU Using Lab Test Results, Condition Codes, and Demographic Data

Mar 2023 - May 2023

  • Researched the efficacy of lab test results, condition codes, and demographic data to predict length of stay in the ICU using 41,092 patient admissions from the MIMIC-III dataset
  • Engineered features from raw lab test and ICD9 diagnosis data
  • Trained an XGBoost regression model to predict length of ICU stay, optimizing hyperparameters via grid search cross-validation

Bana – Banana Freshness Classification App

May 2022 - Jul 2022

  • Developed a machine learning web application entitled Bana to predict banana freshness and solve an everyday issue
  • Trained a convolutional neural network to 99.7% accuracy on banana images using TensorFlow, Keras, NumPy, and Matplotlib
  • Built a backend and interactive frontend using Python, Flask, HTML, and CSS

Soundle - An Immersive Game to Improve Mental Health

Jan 2022 - May 2022

  • Created a Wordle-inspired game using React and Python that exposes the user to a multi-sensory environment in order to improve senior citizen mental health
  • Collaborated in an Agile team of seven employing Scrum methodology
  • Maintained consistent communication with and successfully produced a product for a senior executive from Delos Living

Leadership and Volunteer Experience

River Edge Public Library Volunteer

River Edge, NJ

July 2016 - Present

  • Creating and leading programs for children in grades K-6 that foster collaboration and critical thinking
  • Completing various bookkeeping tasks around the library

Stevens Office of International Programs Global Ambassador

Hoboken, NJ

Oct 2021 - Present

  • Presented on international internship experience at Diversity Abroad’s Global Student Leadership Summit and led a career readiness workshop
  • Engage with students through panel discussions, sharing insights and experiences pertaining to virtual study abroad opportunities

Stevens Computer Science Student Advisory Board Member

Hoboken, NJ

Sept 2023 - Present

  • Accepted as a representative for the senior class
  • Report feedback on CS coursework/student life and strategize/administer improvements with the Department Chair and Associate Chair for Undergraduate Education

Stevens School of Business Dean's Student Advisory Board Representative

Hoboken, NJ

Sept 2020 - May 2021

  • Accepted as one of two freshmen representatives for the class of 2024
  • Communicated with Stevens School of Business students and implemented clubs, fundraisers, and other events with the Dean
  • Reported feedback on School of Business coursework and suggested improvements to curriculums
  • Selected to be a member of the Guest Speakers/Events, Clubs and Organizations, and Curriculum Committees

Stevens School of Business Guest Speakers/Events Committee Member

Hoboken, NJ

Nov 2020 - May 2021

  • Recommended notable speakers and curated engaging events for the School of Business
  • Collaborated with departmental leadership to meticulously plan and execute events

Stevens School of Business Clubs and Organizations Committee Member

Hoboken, NJ

Nov 2020 - May 2021

  • Contributed ideas and effectively communicated proposals for the establishment of new clubs and organizations within the School of Business

Stevens School of Business Curriculum Committee Member

Hoboken, NJ

Nov 2020 - May 2021

  • Advocated for enhancements to the School of Business curriculum by communicating suggestions aimed at elevating the overall educational experience
  • Collaborated closely with departmental leadership to strategically integrate increased technical development into coursework

Publications

Soiferman, T. W., & Bracewell, P. J. (2022). Sign of the Times: Sentiment Analysis on Historical Text and the Implications of Language Evolution. Advanced Practical Approaches to Web Mining Techniques and Application, Chapter 5

Natural language processing is a prevalent technique for scalably processing massive collections of documents. This branch of computer science is concerned with creating abstractions of text that summarize collections of documents in the same way humans can. This form of standardization means these summaries can be used operationally in machine learning models to describe or predict behavior in real or near real time as required. However, language evolves. This chapter demonstrates how language has evolved over time by exploring historical documents from the USA. Specifically, the change in emotion associated with key words can be aligned to major events. This research highlights the need to evaluate the stability of characteristics, including features engineered based on word elements when deploying operational models. This is an important issue to ensure that machine learning models constructed to summarize documents are monitored to ensure latent bias, or misinterpretation of outputs, is minimized.